Human-robot collaboration THEME 2 AI-enabled logistics traceability and material readiness THEME 3Evolutions of themes Enable safe, adaptive intralogistics, where humans and robots collaborate seamlessly to improve productivity, ergonomics and safety. Safety incident rate Workforce productivity Safe co-working — Cobots and mobile robots assist operators with dynamic safety zones and 3D vision. — AR tools support workers in picking, assembly and movement accuracy while minimizing collisions and manual strain.AI-assisted, adaptive collaboration — AI monitors operator posture, fatigue and movement data to balance workloads between humans and robots. — Wearables and digital twins anticipate risks and reassign tasks in real time, reducing fatigue and improving safety and precision.Intent-driven, self-adapting workforces — Agentic systems understand human intent through multimodal sensing (e.g. voice, gesture, biometrics). — Humans, robots and AI operate as a unified adaptive workforce, dynamically reallocating tasks based on safety and demand. — Cognitively aware environments predict needs and self-adjust ergonomics.NOW (0-2 years) NEAR (3-5 years) NEXT (5+ years) Objectives Evolutions of themes Enable real-time material traceability and readiness across internal logistics to reduce lead times and ensure just-in-time operations across warehouse, shopfloor and production. Material readiness rate Lead time Digitized tracking and visibility — IoT sensors, RFID and barcode systems digitize material movement, enabling dashboards that display material locations, usage and line-side inventory, reducing manual checks.Predictive traceability and readiness — AI and digital twins forecast shortages, delays and compliance gaps. — Automated replenishment and traceability validation enable proactive, just-in-time material readiness.Autonomous, self-verifying supply flows — Federated AI and blockchain networks autonomously verify flow origin and compliance. — AI agents self-manage material synchronization and readiness across partners in real time.NOW (0-2 years) NEAR (3-5 years) NEXT (5+ years) ObjectivesINTERNAL LOGISTICS INTERNAL LOGISTICS Intelligent Industrial Operations Outlook 2026 25